Artificial intelligence (AI) offers numerous benefits, including increased automation levels, but can also harm individuals and communities, which raises concerns. The field of human-centered AI (HCAI) was created to address human involvement and the consideration of human rights and values involved in the development of AI systems. Document analysis of governance frameworks was used as a research approach to identify components that contribute to human-centered AI solutions. Four authoritative bodies were selected as the principal sources of AI-related principles, standards, and guidelines, based on their recognized authority, global relevance, and comprehensive regulatory scope. Thirty-seven human-centered components were extracted and classified into five classification categories: human-centered values and ethics, user experience and human interaction, data and model governance, technical robustness and system performance, and AI system capabilities and design considerations. The identified components can be used to develop AI solutions that are human-centered and uphold legal integrity, fundamental freedoms, and the principles of democratic governance. Including these components in a formal development methodology can assist in developing AI solutions that are human-centered, free from bias, beneficial to humans, supportive of human capabilities, and aligned with ethical, transparent, reliable, trustworthy, and explainable principles.